UE Target Cell Selection Using Benefit Algorithm Model
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Solution Overview
Problem
Current wireless communication systems face instability due to frequent cell handovers and reselections caused by jitter in signal strength, which affects the performance and stability of the network.
Innovation Solution
A method and apparatus for determining a target cell in user equipment (UE) using measured signal quality and a benefit algorithm model, where a mobility management parameter is used to calculate an expected benefit for cell handover or cell reselection, selecting the target cell based on this benefit to reduce unnecessary handovers and improve system stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cell handover or reselection is performed based on signal quality measurement, then the UE can maintain connection with the network, but frequent handovers occur due to signal jitter causing system instability
Solution Approach 1:
The system performs preliminary evaluation by calculating expected benefit values for candidate cells before actually executing handover. This preliminary action includes predicting future signal quality and evaluating whether the handover will truly improve connection stability, thereby preventing premature or unnecessary handovers caused by temporary signal fluctuations
Solution Approach 2:
The expected benefit calculation acts as an intermediary between signal quality measurement and handover execution. This intermediary layer introduces additional evaluation criteria (signal quality trends, candidate cell conditions, handover cost) that filter out spurious handover requests caused by signal jitter while maintaining necessary handovers for genuine connection improvements
2Speed
If traditional cell handover method is used, then the system responds quickly to signal changes, but unnecessary handovers increase due to signal strength jitter
Solution Approach 1:
Before executing handover, the system performs preliminary calculations of expected benefit values that incorporate signal quality trends and predictions. This preliminary action filters out handover requests triggered by temporary signal fluctuations, ensuring that only handovers with genuine benefit are executed, thus maintaining reliability without sacrificing necessary response speed
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring signal quality trends and using this information to adjust handover decisions. The expected benefit calculation incorporates historical signal measurements and predictions, creating a feedback loop that prevents reactive handovers to transient signal conditions while maintaining responsiveness to sustained quality improvements
Data Source
AI summary
A method and an apparatus for determining a target cell of UE, a communication device, and a storage medium, the method for determining a target cell of UE including: determining, based on measured signal quality on a cell, a candidate cell for cell handover or cell reselection; determining, based on a mobility management parameter and a benefit algorithm model, an expected benefit of accessing the candidate cell; and selecting, based on the expected benefit, from the candidate cell a target cell for cell handover or cell reselection.